JupyterHub

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Day 1: Introduction and Basic Setup (7 hours)

1. Introduction to JupyterHub
   • Overview and benefits
   • Use cases and applications
2. Installation and Setup
   • Installing JupyterHub locally or on a server
   • Basic configuration options
3. Getting Started with Jupyter Notebooks
   • Introduction to Jupyter notebooks
   • Creating and running code cells
   • Markdown cells for documentation
4. User Management and Authentication
   • Adding and removing users
   • Managing user permissions
   • Configuring authentication methods

Day 2: Collaboration, Customization, and Security (7 hours)

1. Collaborative Features
   • Sharing notebooks with other users
   • Real-time collaboration using CoCalc or similar tools
2. Server Configuration
   • Resource allocation and usage limits
   • Configuring server environments
3. Customization
   • Theming JupyterHub interface
   • Installing and managing extensions
4. Security Best Practices
   • Securing JupyterHub deployments
   • SSL encryption and HTTPS setup

Day 3: Advanced Topics, Troubleshooting, and Project Work (7 hours)

1. Advanced Jupyter Features
   • Widgets and interactive visualizations
   • Working with big data
2. Version Control and Git Integration
   • Using Git with Jupyter notebooks
   • Best practices for version control
3. Scalability and Performance
   • Scaling JupyterHub for large user bases
   • Load balancing and optimization
4. Troubleshooting and Maintenance
   • Common issues and resolutions
   • Monitoring and logging
5. Project Work
   • Participants work on a project using JupyterHub
6. Review and Q&A
   • Review of key concepts
   • Open Q&A session